首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Face Recognition Using PCA, FLDA and Artificial Neural Networks
  • 本地全文:下载
  • 作者:Gunjan Mehta ; Sonia Vatta
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • 出版社:S.S. Mishra
  • 摘要:Face recognition is a system that identifies human faces through complex computational techniques. The paper explains two different algorithms for feature extraction. These a re Principal Component Analysis and Fisher Faces algorithm. It then explains how images can be recognized using a backpropagation algorithm on a feed forward neural network. Two training databases one containing 20 images and the other containing 80 images are used to test the proposed techniques. Later the results are compared and tabulated.
  • 关键词:eigenfaces; fisherfaces; neural network; backpropagation; minimum euclidean distance
国家哲学社会科学文献中心版权所有